Héctor F. Bonilla-Londoño,. An accomplished Operations Research Scientist with over three years of industry experience and a strong academic foundation. I excel in developing mathematical optimization models using Python, leveraging top solvers like Gurobi, CPLEX, and GAMS. My research focuses on humanitarian logistics, real-time optimization, and integrating sustainable logistics with AI-driven decision-making. I have a master’s degree in Production Engineering and a bachelor’s in Industrial Engineering, with four years of university teaching experience. My expertise includes creating innovative solutions for vehicle routing in waste collection using optimization and machine learning. I have published in high-impact journals and developed models for production planning, humanitarian logistics, and supply chain management. My strong communication and teamwork skills, along with a commitment to continuous improvement and education, make me a valuable asset to any organization. I am dedicated to advancing research and contributing to your organization’s success